About PGCM (DSFM) Programme
Data has emerged as a new functional requirement in modern-age decision making. Organizations treat data as an input to arrive at critical decisions pertaining to their products and services. As per a prediction by MarketsandMarkets, the market for data science is estimated to reach USD 140.9 billion by 2024, up from USD 37.9 billion in 2019.
The Post Graduate Certificate in Management (Data Science in Financial Markets) is a premier programme that offers a well-rounded understanding on modern finance and its various applications, in collaboration with data processing techniques and tools; the participants will develop the expertise to make and alter various financial products (using these data processing techniques and tools) and make them suitable for different classes of investors.
The programme offers a rewarding opportunity to learn and use the available financial data for informed decision-making, keeping in mind the profitability and customer satisfaction. PGCM (DSFM) is a 14-month weekend programme, hosted at NISM, Bandra Kurla Complex, Mumbai, and is approved by the All India Council of Technical Education (AICTE).
For Whom?
The DSFM Certificate Programme is ideal for individuals with a passion for financial markets and keenness to acquire an in-depth understanding of data mining techniques and financial analytics, to offer and innovate new-age financial products. The programme is suitable for both working professionals and fresh graduates.
Graduates from various disciplines, such as Commerce & Accounting, Management, Economics, Law, Mathematics, Statistics, Engineering will develop their analytical capabilities for financial markets.
What do I learn?
PGCM (DSFM) will enable professionals to undertake data mining with powerful tools and identify trends, patterns and correlations for businesses, researchers, non-profit organizations, academic institutions, and governments. The key takeaways from the programme are as follows:
- he programme will equip professionals with necessary financial knowledge and data mining skills to mould and design better and cost-efficient financial products, creation of efficient risk management system and systematic analysis of available financial information to make informed management decisions.
- The Data Science in Financial Markets Certification programme will provide a platform to its participants to learn the intricacies of Finance and modern-age Data Science tools and develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques.
- The curriculum covers topics such as Financial Products and Institutions, Programming language for financial applications, Data Mining, Machine Learning, Algorithmic Trading, Big Data Processing and Visualization and combines academic elegance with business relevance to facilitate the participants to learn modalities of various financial products, followed by analytical techniques and weaves them with applications for data-based decision making.
- Dissemination of knowledge of various financial products to create a level playing field between finance and non-finance professionals.
- An integral part of the learning experience is the use of Data Science and Analytics tools wherein the candidates get hands-on exposure to R, Tableau, and Python.
- Program lectures and hands-on workshops will be conducted by eminent faculty, industry leaders and experts.
Where does PGCM (DSFM) lead to?
PGCM (DSFM) could lead to the following job profiles, which involve the fusion of data science techniques and financial analytics:
- Credit Research and Ratings
- Investment Evaluation and Portfolio Management
- Risk Modelling
- Claim Processing
- Fraud Detection
- Financial Statement Analysis
- Equity Research
Programme Architecture
The Post Graduate Certificate in Management (Data Science in Financial Markets) Programme comprises five trimesters having 16 courses and project/internship carrying a total of 45 credits. The curriculum is designed to provide research-based inputs and industry insights through a team of academicians and market experts. The details of the same are as follows:
| Subject Code | Trimester I | Hours | Credits |
|---|---|---|---|
| 101 | Mathematics | 30 | 3 |
| 102 | Statistics | 30 | 3 |
| 103 | Computer Programming | 30 | 3 |
| Subject Code | Trimester II | Hours | Credits |
| 201 | Financial Economics | 15 | 1.5 |
| 202 | Financial Institutions & Products | 15 | 1.5 |
| 203 | Advanced Computer Programming | 30 | 3 |
| 204 | Econometric and Time Series Analysis | 30 | 3 |
| Subject Code | Trimester III | Hours | Credits |
| 301 | Fixed Income | 15 | 1.5 |
| 302 | Financial Derivatives | 15 | 1.5 |
| 303 | Market Microstructure and Algorithmic Trading | 30 | 3 |
| 304 | Machine Learning and Deep Learning Models | 30 | 3 |
| Subject Code | Trimester IV | Hours | Credits |
| 401 | Applications of Data Science in Securities Markets, Insurance Markets and Banking (Credit Risk) | 15 | 1.5 |
| 402 | Financial Data and Management | 15 | 1.5 |
| 403 | Security Analysis and Portfolio Management | 30 | 3 |
| 404 | Big Data Processing and Visualization | 30 | 3 |
| Subject Code | Trimester V | Hours | Credits |
| 501 | Financial Analytics | 30 | 3 |
| 502 | Project/Internship | 6 | |
| Total Programme Credits | 45 | ||
The performance of participants is assessed on a continuous evaluation process in each trimester. Evaluation is through quizzes, surprise tests, mid-term tests, end-term examinations, class participation, presentations, submissions, projects, etc., as may be indicated by the faculty members in the course outline. At the end of the programme, participants shall be awarded Grades, subject-wise as well as the CGPA. The DSFM Certificate Programme will be awarded to successful candidates at a convocation ceremony.
Programme Schedule
The programme will take place in class-room mode on weekends at NISM, Bandra Kurla Complex, Mumbai. The class timings would be as follows:
| Day | Timings | Teaching Hours | Break Time |
| Saturday | 6 pm to 9:15 pm | 3 hours | 15 Minutes |
| Sunday | 10 am to 5 pm | 6 hours |
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Note: The classes will initially be in online format (webinar-mode), till the COVID-19 pandemic situation improves. Hostel facility is available at NISM Campus in Patalganga, for the benefit of participants from outside Mumbai.
Note: The Management reserves the right to change, amend programme structure as and when it deems fit.
Programme Fees
The consolidated fees for PGCM (Data Science in Financial Markets) are Rs.2,02,000/- (Rupees Two lakh and Two Thousand only).
The break-up of the fees is as follows:
| Particulars | First Instalment (in Rs.) | Second Instalment (in Rs.) | Third Instalment (in Rs.) | Total(in Rs.) |
|---|---|---|---|---|
| Tuition fee | 50,000 | 65,000 | 65,000 | 1,80,000 |
| Exam fee | 5,000 | 5,000 | 10,000 | |
| Library Deposit* | 10,000 | – | 10,000 | |
| Alumni fund | 2,000 | – | 2,000 | |
| Total | 50,000 | 82,000 | 70,000 | 2,02,000 |
| Due Date | Within 7 calendar days from the issue of Offer Letter | 15th September 2020 | 30th November 2020 |
* Refundable
Once the classes start in physical mode, hostel facility will be made available for the benefit of participants from outside Mumbai, at NISM’s campus in Patalganga, at Rs. 13,350/- (Rupees Thirteen Thousand and Three Hundred and Fifty only) per month.
The break-up of the hostel fees is as follows:
Accommodation Charges: Rs. 6,000
Food Charges: Rs. 7,000
GST on Food: Rs. 350
Total: Rs. 13,350/-
Note: Hostel accommodation can also be made available on single occupancy as well as with air-conditioning facility on a chargeable basis. However, if the numbers of students opting for Air-conditioning (A/C) facilities are less than the desired number, NISM may discontinue the A/C services and refund the proportionate charges.
In addition, participants (availing hostel facility) shall pay a refundable hostel deposit of Rs. 10,000/-
Fee Refund Policy
If an applicant requests to withdraw his/her admission, the Institute will refund the collected fees after deducting Rs. 1000/- towards processing fees and return the applicant’s certificates, if such withdrawal is made before the commencement of the programme, for whatever reasons, as per the procedures prescribed in various government guidelines. The last date for withdrawal of admissions for the purpose of refund of fees is 25th August 2020.
If an applicant chooses to withdraw, the Institute will follow a three-tier system for a refund of fees, as follows:
| Sr. No | Percentage of Refund of Aggregate Fees | Point of time when notice of withdrawal of admission is served to the Institute |
|---|---|---|
| 1 | 100% less Rs.1,000/- | Before the commencement of the programme. |
| 2 | 100% less Rs. 10,000/- of full fee including refundable deposits | After commencement of the programme and the vacant seat is filled by another applicant from wait-list. |
| 3 | 0% except for refundable deposits | After commencement of the programme and the seat remained vacant. |
Note: The Management reserves the right to change, amend programme fees as and when it deems fit.
Admissions 2020
NISM is pleased to invite applications for admissions to Post Graduate Certificate in Management (Data Science in Financial Markets) 2020-21.
Eligibility
Graduates from any discipline with a minimum of 50% marks from a recognized University under 10+2+3 stream are eligible. Provisional admission will be granted to those in the final year of graduation and subject to confirmation of aforesaid criterion.
Selection Criteria
Candidates will be selected based on their profile and their performance in the personal interview (online).
How to apply?
Candidates willing to apply should first register themselves on slims.nism.ac.in
Step 1: New Registration: Upon successful registration, a User-ID and Password will be sent to the registered email ID and mobile number of the candidate.
Step 2: Application process: Thereafter, candidates are required to log-in and complete the application process by paying the application fee. After making the payment of application fee of Rs. 500/- the candidates may submit their applications.
Frequently Asked Questions
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Dr. Pradiptarathi Panda
Assistant Professor (School for Securities Information and Research (SSIR))
Dr. Pradiptarathi Panda
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Name: Dr. Pradiptarathi Panda Designation: Assistant Professor (School for Securities Information and Research (SSIR)) Email: pradiptarathi.panda@nism.ac.in Contact: 91-2192668419 Dr. Pradiptarathi Panda
Dr. Pradiptarathi Panda is working as an Assistant Professor at the National Institute of Securities Markets (NISM). Prior to the current position, he has worked as a Lecturer and Research Associate of NISM. Dr. Panda was a Research Scholar of the Indian Institute of Capital Markets (IICM) and is having more than seven years of teaching and research experience. He holds a Master's in Finance & Control (MFC) from Berhampur University, an M.Phil. in Finance from Pondicherry Central University and Ph.D. in Finance from the University of Mumbai. His area of Ph.D. is on International Capital Markets Spillovers. He has qualified UGC NET for Assistant Professor in management. His areas of research interest's Include-International Capital Markets, Interest Rate Futures, Innovative financial instruments, and Financial Economics. His teaching interests are Financial Institutions and Markets(FIM) Applied Financial Econometrics, Financial Computing using R, Financial Derivatives, Global Financial Markets, Investment Management, and Trading in equity and derivatives (equity, commodity, and currency). Dr. Panda conducts trading laboratory sessions in the SMART Lab for MBA students and trainees from IAS, SEBI, RBI, IRS, IES, ICLS, Defence Officers, along with others. He has also trained officers from the Securities Exchange Commissions and Central Bankers from Cambodia, Laos, Myanmar, Vietnam, and Bangladesh and guided many foreign as well as Indian Interns. He is also handling databases like Bloomberg and Prowess at NISM. He is the faculty Co-coordinator of the NISM Alumni Association and Conference Co-coordinator of Capital Markets Conference. He has published several research papers in indexed journals like Springer, Wiley, EBSCO, Econopapers, Jgate, Inderscience, Scopus, Ideas RePEc, IGI Global, and others. He has worked in the areas of volatility spillovers, equity markets, foreign exchange markets, derivatives markets, interest rate futures, green bonds, market microstructure, circuit breakers, Ownership structures, and so on. He has presented research papers in several international and national conferences; has participated in some workshops and organised several Faculty Development Programmes (FDPs), Capital Market Conferences and Workshops. He is currently a member of the editorial board for several journals and a reviewer for several journals as well as World Finance Conferences. Linkedin - https://www.linkedin.com/in/dr-pradiptarathi-panda-903b9154 ORCID - https://orcid.org/0000-0003-1262-8148 Research Gate - https://www.researchgate.net/profile/Pradiptarathi_Panda4 Google Scholar - https://scholar.google.co.in/citations?user=onbJk0YAAAAJ&hl=en SSRN - https://hq.ssrn.com/submissions/MyPapers.cfm?partid=1712840
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Mr. Mohd. Meraj Inamdar
Lecturer (School for Corporate Governance (SCG))
Mr. Mohd. Meraj Inamdar
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Name: Mr. Mohd. Meraj Inamdar Designation: Lecturer (School for Corporate Governance (SCG)) Email: Meraj.inamdar@nism.ac.in Contact: 91-2266734613 / 91-2192668420 Mr. Meraj Inamdar
Mr. Meraj Inamdar has a Master’s degree in Commerce from Marathwada University, Aurangabad, and UGC SET qualified. He is pursuing his PhD in the field of Corporate Governance and Sustainable Finance with the University of Mumbai. Mr. Inamdar is Lecturer at NISM. Mr. Inamdar has three years of corporate experience and six years of teaching and research experience. He has started his career as finance manager at Nissan Motors India Pvt Ltd. He was a member of faculty at Institute of Cost accountant (ICAI), Aurangabad Chapter 2010-13. He was Associate editor of CSR Analyst, monthly magazine of UTI-IICM, Navi Mumbai. Before Joining NISM, Mr. Inamdar was Senior Project Associate at CSE, IIT-Bombay on various research projects related to open source learning and teaching pedagogy through Information Technology. He has several publications and conference papers to his credit and has won the Outstanding Research Paper award at Mumbai University’s International Conference in February 2016. He has also reviewed research papers for “IIM-Bangalore Management Review” journal. He has research interest in Sustainable finance & ESG, Corporate Governance and SME Exchange. At NISM, Mr. Inamdar teaches Statistics, using databases such as Bloomberg, Morningstar and CMIE Prowess through R and MS Excel. He plays a vital role in the NISM SMART Lab Trading sessions on Equity & Derivatives. At NISM he has successfully conducted various workshops on Equity & Derivative trading at SMART Lab for international delegates of Bangladesh, Nepal, Cambodia, Laos, Myanmar, Vietnam & Afghanistan, Practitioners in capital markets, Government officers IAS, IES, IRS, ICLS, RBI, FDPs for faculties and for post graduate students.
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Visiting Faculty
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Suneel Saraswat
Adjunct Faculty, NISM
Suneel Saraswat
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Name: Suneel Saraswat Designation: Adjunct Faculty, NISM Suneel Sarswat is an adjunct faculty at NISM. His current research area is applications of theoretical computer science in finance and regulations. He teaches advanced programming, machine learning, deep learning, computational finance, etc. He has 13+ years of teaching experience at NISM, NMIMS, NITIE, and Meghnad Desai Academy of economics. Before joining academics he has worked for Bank of America as a research analyst. He has conducted various workshops for working professionals in the area of compuatational finance and machine learning. He has trained officers from RBI, SEBI, Exchanges, Banks, and other financial institutions. He has presented his work in international conferences in theoretical computer science. Besides adjunct faculty at NISM, he is also a part-time consultant at Decimal Point Analytics and a visiting faculty at Meghnad Desai Academy. He has completed his master's degree in applied statistics from the Indian Institute of Technology, Mumbai in 2005. He also holds a master's degree from Tata Institute of Fundamental Research (TIFR), Mumbai in theoretical computer science. Currently, he is completing his Ph.D. from TIFR in the area of applications of logic.
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Dr. Jinesh Panchali
Faculty
Dr. Jinesh Panchali
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Name: Dr. Jinesh Panchali Designation: Faculty Dr. Jinesh brings more than 30 years of experience in academics and consulting domain. He currently operates a proprietary firm, Arham Advisors. It offers services in area of governance, M&A, valuation, and markets.
Jinesh is an MBA with specialisation in Finance, Ph.D. in Management from Faculty of Management Studies (1994), The M.S. University of Baroda, and a Cost and Management Accountant (CMA) from Institute of Cost Accountants of India.
He started his career with Department of Management, at South Gujarat University as a lecturer. He has taught He has served Indian Institute of Capital Markets, (IICM) (now merged with National Institute of Securities Markets (NISM)), from 1995 for more than a decade including serving as Dean (Academic). He has also served as Senior Vice President at Financial Technologies Group, and its Knowledge Management subsidiary.
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Helpdesk: +91-08268002412
Email:pgcm@nism.ac.in